code: def check_metadata_consistency(key, dataset_names):
      """
      Check that the datasets have consistent metadata.
  
      Args:
          key (str): a metadata key
          dataset_names (list[str]): a list of dataset names
  
      Raises:
          AttributeError: if the key does not exist in the metadata
          ValueError: if the given datasets do not have the same metadata values defined by key
      """
      if len(dataset_names) == 0:
          return
      logger = logging.getLogger(__name__)
      entries_per_dataset = [
          getattr(MetadataCatalog.get(d), key) for d in dataset_names
      ]
      for idx, entry in enumerate(entries_per_dataset):
          if entry != entries_per_dataset[0]:
              logger.error(
                  "Metadata '{}' for dataset '{}' is '{}'".format(
                      key, dataset_names[idx], str(entry)
                  )
              )
              logger.error(
                  "Metadata '{}' for dataset '{}' is '{}'".format(
                      key, dataset_names[0], str(entries_per_dataset[0])
                  )
              )
              raise ValueError(
                  "Datasets have different metadata '{}'!".format(key)
              )
  
imports: import logging
  import numpy
  from typing import List, Union
  import pycocotools.mask
  import torch
  from PIL import Image
  from detectron2.structures import BitMasks, Boxes, BoxMode, Instances, Keypoints, PolygonMasks, RotatedBoxes, polygons_to_bitmask
  from detectron2.utils.file_io import PathManager
  from .None import transforms
  from .catalog import MetadataCatalog
label_desc: Use image node_id 16 for calling a global function with example usage: check_metadata_consistency(key, dataset_names) without return types